Stability-Enhanced Model Predictive Control for Urban Rail Transit Train
Xi Wang,
Kejia Xing,
Jian Wang
Abstract:Automatic train operation (ATO) control is a pivotal part of urban rail transit development, where designing the dynamics models and controllers for the ATO control scenarios presents a formidable challenge. To begin with, considering the fundamental resistances encountered by trains during the operation process, including elemental running resistance and time-varying slope resistance, we treat relative distance and relative speed between train carriages as state variables in the control modeling. Considering … Show more
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